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BOADICEA: a comprehensive breast cancer risk prediction model incorporating genetic and nongenetic risk factors

Overview of attention for article published in Genetics in Medicine, August 2019
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#13 of 2,837)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

news
33 news outlets
blogs
8 blogs
twitter
121 tweeters
facebook
5 Facebook pages

Citations

dimensions_citation
358 Dimensions

Readers on

mendeley
417 Mendeley
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Title
BOADICEA: a comprehensive breast cancer risk prediction model incorporating genetic and nongenetic risk factors
Published in
Genetics in Medicine, August 2019
DOI 10.1038/s41436-018-0406-9
Pubmed ID
Authors

Andrew Lee, Nasim Mavaddat, Amber N. Wilcox, Alex P. Cunningham, Tim Carver, Simon Hartley, Chantal Babb de Villiers, Angel Izquierdo, Jacques Simard, Marjanka K. Schmidt, Fiona M. Walter, Nilanjan Chatterjee, Montserrat Garcia-Closas, Marc Tischkowitz, Paul Pharoah, Douglas F. Easton, Antonis C. Antoniou

Twitter Demographics

The data shown below were collected from the profiles of 121 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 417 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 417 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 64 15%
Student > Ph. D. Student 50 12%
Student > Master 50 12%
Student > Bachelor 37 9%
Other 22 5%
Other 69 17%
Unknown 125 30%
Readers by discipline Count As %
Medicine and Dentistry 93 22%
Biochemistry, Genetics and Molecular Biology 73 18%
Agricultural and Biological Sciences 26 6%
Computer Science 18 4%
Nursing and Health Professions 17 4%
Other 54 13%
Unknown 136 33%

Attention Score in Context

This research output has an Altmetric Attention Score of 380. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 26 April 2023.
All research outputs
#73,237
of 23,872,700 outputs
Outputs from Genetics in Medicine
#13
of 2,837 outputs
Outputs of similar age
#1,430
of 348,812 outputs
Outputs of similar age from Genetics in Medicine
#2
of 87 outputs
Altmetric has tracked 23,872,700 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,837 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 19.1. This one has done particularly well, scoring higher than 99% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 348,812 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 87 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 98% of its contemporaries.